主要对当前DICOM标准的发展现状进行研究分析,并对下一步的工作提出展望。认为医学数字成像和通信(digital imaging and communications in medicine,DICOM)标准是医学数字影像与通信的核心标准。该标准已经从单纯在医疗设备和疾病领域...主要对当前DICOM标准的发展现状进行研究分析,并对下一步的工作提出展望。认为医学数字成像和通信(digital imaging and communications in medicine,DICOM)标准是医学数字影像与通信的核心标准。该标准已经从单纯在医疗设备和疾病领域的应用向教育、互联网和标准符合性测评等方面扩展,推动了医学数字影像的技术和应用发展,提升了疾病诊断与治疗的质量和水平。建议完善我国医疗卫生信息标准体系,更好地指导和服务我国医疗健康信息化的建设和发展。展开更多
To solve low precision and poor stability of the extended Kalman filter （EKF） in the vehicle integrated positioning system owing to acceleration, deceleration and turning （hereinafter referred to as maneuvering） ,...To solve low precision and poor stability of the extended Kalman filter （EKF） in the vehicle integrated positioning system owing to acceleration, deceleration and turning （hereinafter referred to as maneuvering） , the paper presents an adaptive filter algorithm that combines interacting multiple model （IMM） and non linear Kalman filter. The algorithm describes the motion mode of vehicle by using three state spacemode]s. At first, the parallel filter of each model is realized by using multiple nonlinear filters. Then the weight integration of filtering result is carried out by using the model matching likelihood function so as to get the system positioning information. The method has advantages of nonlinear system filter and overcomes disadvantages of single model of filtering algorithm that has poor effects on positioning the maneuvering target. At last, the paper uses IMM and EKF methods to simulate the global positioning system （OPS）/inertial navigation system （INS）/dead reckoning （DR） integrated positioning system, respectively. The results indicate that the IMM algorithm is obviously superior to EKF filter used in the integrated positioning system at present. Moreover, it can greatly enhance the stability and positioning precision of integrated positioning system.展开更多
文摘主要对当前DICOM标准的发展现状进行研究分析,并对下一步的工作提出展望。认为医学数字成像和通信(digital imaging and communications in medicine,DICOM)标准是医学数字影像与通信的核心标准。该标准已经从单纯在医疗设备和疾病领域的应用向教育、互联网和标准符合性测评等方面扩展,推动了医学数字影像的技术和应用发展,提升了疾病诊断与治疗的质量和水平。建议完善我国医疗卫生信息标准体系,更好地指导和服务我国医疗健康信息化的建设和发展。
基金National Natural Science Foundation of China(No.61663020)Project of Education Department of Gansu Province(No.2016B-036)
文摘To solve low precision and poor stability of the extended Kalman filter （EKF） in the vehicle integrated positioning system owing to acceleration, deceleration and turning （hereinafter referred to as maneuvering） , the paper presents an adaptive filter algorithm that combines interacting multiple model （IMM） and non linear Kalman filter. The algorithm describes the motion mode of vehicle by using three state spacemode]s. At first, the parallel filter of each model is realized by using multiple nonlinear filters. Then the weight integration of filtering result is carried out by using the model matching likelihood function so as to get the system positioning information. The method has advantages of nonlinear system filter and overcomes disadvantages of single model of filtering algorithm that has poor effects on positioning the maneuvering target. At last, the paper uses IMM and EKF methods to simulate the global positioning system （OPS）/inertial navigation system （INS）/dead reckoning （DR） integrated positioning system, respectively. The results indicate that the IMM algorithm is obviously superior to EKF filter used in the integrated positioning system at present. Moreover, it can greatly enhance the stability and positioning precision of integrated positioning system.
